#### TimeSeries / OutlierDetection / 0.1.1

README.md

## Outlier Detection

Detects outliers in time series data. Contains two input formats & 1 output format.

## Input Formats

**Automatic**

`input: Double[]`

`[1,2,3,4,5,6,7,9,25,4,3]`

input – a Time series dataset with evenly spaced datapoints.

An outlier is defined by any datapoint outside of 2 standard deviations from the mean with this input.

**Manual**

```
[
input: Double[],
t: Double
]
```

`[[1,2,3,4,5,6,7,9,25,4,3, 2.0]`

input – a Time series dataset with evenly spaced datapoints.

t – defines the maximum number of standard deviations from the mean with which a datapoint is not considered an outlier.

## Output Formats

` output: Double[]`

`[0,0,0,0,0,0,0,25,0,0]`

output – is identical in size to the input dataset. If a datapoint is not considered an outlier then it’s indicies’ value is set to 0. If a datapoint is an outlier, it’s indicies’ value is kept from the input.

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